Osteophyte Bony Balancing in Robotic Total Knee Arthroplasty: A Surgical Technique and Predictive Algorithm for Soft Tissue Laxity.

IF 1.4 4区 医学 Q3 ORTHOPEDICS
Journal of Knee Surgery Pub Date : 2026-08-01 Epub Date: 2026-01-29 DOI:10.1055/a-2796-8119
Olivia J Bono, James V Bono
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引用次数: 0

Abstract

Abstract: The removal of osteophytes during total knee arthroplasty (TKA) results in reduced soft tissue tension, which may result in joint laxity. Thus, for gap balancing, a surgeon may try to predict the effect of osteophyte removal on the resulting flexion and extension gap before any bone cuts are made and before those osteophytes are removed. Posterior osteophytes, however, are relatively inaccessible, since their removal can be done only after posterior bone cuts are made on the femur. Any laxity created by posterior osteophyte removal cannot be corrected by adjusting bone cuts because they have already been made. The authors have developed a predictive algorithm for use in robotic TKA, which anticipates the effect of osteophyte removal, allowing adjustment in bony resection before any bone cuts are made. The cross-sectional area of the posterior femoral osteophytes is measured on the sagittal plane of the preoperative computed axial tomography (CAT) scan. The authors' method of osteophyte correction is to make changes to the tibial cut based on the size and shape of the posterior osteophytes, as they believe the laxity created by osteophyte removal effects both extension and flexion. The amount and specific location of bony resection are then determined based on the size and location (posteromedial vs. posterolateral) of the osteophytes. Through the described technique, the authors have found that the amount of laxity created by osteophyte removal correlates directly to the dimension of the osteophyte over which the soft tissue extends. The size and shape of initially inaccessible posterior osteophytes, determined using CAT scan-based imaging, were used to create a predictive bony balancing algorithm, designed to be incorporated with the surgeon's preferred bony balancing technique. Our predictive algorithm anticipates the laxity created by osteophyte removal prior to their removal and can be used to alter bone resection parameters and/or implant parameters (e.g., thickness of a tibial liner) to accommodate the increased laxity, allowing for the conservation of bone and correction of deformity.

机器人全膝关节置换术中的骨赘骨平衡:一种外科技术和软组织松弛的预测算法。
导读:全膝关节置换术(TKA)中骨赘的去除导致软组织张力降低,这可能导致关节松弛。因此,为了平衡间隙,外科医生可能会在进行任何骨切割和骨赘去除之前,尝试预测骨赘去除对产生的屈伸间隙的影响。然而,后路骨赘相对难以切除,因为它们只能在股骨后路骨切割后切除。由于后路骨赘清除造成的任何松弛都不能通过调整骨切口来纠正,因为它们已经发生了。作者已经开发了一种用于机器人TKA的预测算法,该算法可以预测骨赘去除的效果,允许在任何骨切割之前调整骨切除。材料和方法:在术前CAT扫描矢状面测量股骨后骨赘的横截面积。作者矫正骨赘的方法是根据后路骨赘的大小和形状对胫骨切口进行改变,因为他们认为骨赘去除造成的松弛会影响伸展和屈曲。然后根据骨赘的大小和位置(后内侧vs后外侧)确定骨切除的数量和具体位置。结果:通过所描述的技术,作者发现骨赘去除产生的松弛量与软组织延伸的骨赘的尺寸直接相关。结论:使用基于CAT扫描的成像确定最初无法进入的后路骨赘的大小和形状,用于创建预测性骨平衡算法,该算法旨在与外科医生首选的骨平衡技术相结合。我们的预测算法在骨赘去除之前预测骨赘去除所产生的松弛,并可用于改变骨切除参数和/或植入物参数(例如胫骨衬里的厚度)以适应增加的松弛,从而保护骨骼和矫正畸形。
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来源期刊
CiteScore
4.50
自引率
5.90%
发文量
139
期刊介绍: The Journal of Knee Surgery covers a range of issues relating to the orthopaedic techniques of arthroscopy, arthroplasty, and reconstructive surgery of the knee joint. In addition to original peer-review articles, this periodical provides details on emerging surgical techniques, as well as reviews and special focus sections. Topics of interest include cruciate ligament repair and reconstruction, bone grafting, cartilage regeneration, and magnetic resonance imaging.
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